| Autor: |
Jared Beyersdorf, YongTae Kim, Huanzhen Ni, James E. Dahlman, Elisa Schrader Echeverri, Daryll Vanover, Marine Z. C. Hatit, Jeong-Kee Yoon, Melissa P. Lokugamage, Philip J. Santangelo, Hannah E. Peck, Laura Rotolo |
| Rok vydání: |
2021 |
| Předmět: |
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| Zdroj: |
Nature Biomedical Engineering. 5:1059-1068 |
| ISSN: |
2157-846X |
| Popis: |
Lipid nanoparticles (LNPs) for the efficient delivery of drugs need to be designed for the particular administration route and type of drug. Here we report the design of LNPs for the efficient delivery of therapeutic RNAs to the lung via nebulization. We optimized the composition, molar ratios and structure of LNPs made of lipids, neutral or cationic helper lipids and poly(ethylene glycol) (PEG) by evaluating the performance of LNPs belonging to six clusters occupying extremes in chemical space, and then pooling the lead clusters and expanding their diversity. We found that a low (high) molar ratio of PEG improves the performance of LNPs with neutral (cationic) helper lipids, an identified and optimal LNP for low-dose messenger RNA delivery. Nebulized delivery of an mRNA encoding a broadly neutralizing antibody targeting haemagglutinin via the optimized LNP protected mice from a lethal challenge of the H1N1 subtype of influenza A virus, and delivered mRNA more efficiently than LNPs previously optimized for systemic delivery. A cluster approach to LNP design may facilitate the optimization of LNPs for other administration routes and therapeutics. Lipid nanoparticles can be optimized for the efficient delivery of therapeutic mRNAs to the lung via nebulization, as shown for the delivery of a therapeutic antibody in mice challenged with a lethal dose of the H1N1 influenza A virus. |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
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